umap-learn
Pass
Audited by Gen Agent Trust Hub on Mar 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and implementation examples for the well-known 'umap-learn' Python library. All provided code snippets utilize standard scientific computing libraries (scikit-learn, matplotlib, hdbscan, tensorflow) for data processing and visualization. There are no instances of prompt injection, data exfiltration, or unauthorized command execution. The external link to the author's web platform (k-dense.ai) is a legitimate promotional reference for the tool's creators and does not pose a security threat.
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